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Related Experiment Video

Updated: Sep 20, 2025

Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer
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Metabolomics Biomarkers for Breast Cancer: An updated perspective.

Christina Jane Vellan1, Vijayakumar Natesan2, Jaime Jacqueline Jayapalan3

  • 1Department of Molecular Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.

Clinical Breast Cancer
|May 29, 2025
PubMed
Summary

Metabolomics offers promising biomarkers for breast cancer (BC) detection and prognosis. Further standardization and validation are needed to integrate these molecular insights into precision oncology for BC.

Keywords:
DetectionDiagnosisMetabolitesPrognosisTreatment response

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Area of Science:

  • Biochemistry
  • Oncology
  • Molecular Biology

Background:

  • Breast cancer (BC) is a major global health issue requiring improved diagnostic and prognostic tools.
  • Metabolomics, the study of small molecules, shows potential for identifying BC biomarkers.
  • Existing diagnostic and prognostic methods for BC require enhancement.

Purpose of the Study:

  • To provide an updated overview of metabolomic biomarkers for breast cancer.
  • To focus on early detection, diagnosis, prognosis, and subtype-specific markers.
  • To discuss challenges and future directions for metabolomic biomarker application in BC.

Main Methods:

  • Review of current literature on metabolomic biomarkers in breast cancer.
  • Analysis of various biological sample sources for biomarker discovery.
  • Discussion of common metabolomic analysis techniques like liquid chromatography-mass spectrometry (LC-MS) and nuclear magnetic resonance (NMR).

Main Results:

  • Key metabolite classes (amino acids, lipids, carbohydrates) are altered in BC patients.
  • Metabolites are linked to critical oncogenic pathways (energy metabolism, redox balance, immune modulation).
  • Metabolite panels show high sensitivity and specificity for BC detection and patient stratification by subtype.

Conclusions:

  • Metabolomics holds significant promise for advancing breast cancer diagnostics and prognostics.
  • Standardization of analytical techniques and biomarker validation are crucial next steps.
  • Integrating metabolomics with other omics approaches will enhance precision oncology for breast cancer.